Monte Carlo modeling and phantom study for implantable fluorescent analyte sensors for human head

Qiujie Wan; Hope T. Beier; Bennett L. Ibey; Theresa Good; Gerard L. Coté

doi:10.1117/12.698654

15 February 2007 Monte Carlo modeling and phantom study for implantable fluorescent analyte sensors for human head

Qiujie Wan, Hope T. Beier, Bennett L. Ibey, Theresa Good, Gerard L. Coté

Proceedings Volume 6445, Optical Diagnostics and Sensing VII; 64450J (2007) https://doi.org/10.1117/12.698654
Event: SPIE BiOS, 2007, San Jose, California, United States

Abstract

The overall goal for this project is the development and study of a quantitative fluorescence sensor for in vivo detection of β-amyloid (Aβ), the primary protein component of senile plaques in Alzheimer's disease (AD). Toward achieving that goal a Monte Carlo simulation has been developed to model photon propagation through the human head and a phantom model of the human head has been built and tested. In both cases a four layer model that included the skin, skull, fluorescent biosensor, and gray matter was used. A sensitivity study was performed to investigate the influence on the fluorescent output intensity of changes in concentration of the sensor. The results show that the fluorescent output intensity is detectable with a reasonable fluorescent sensor concentration and increases nearly linearly with increases in fluorescent concentration in the sensor. These results imply that the sensor would be detectable through the head using a reasonable optical system. The overall results are being used to aid in the design of the fluorescent sensor and the optical system for early detection of AD.

Citation Download Citation

Qiujie Wan, Hope T. Beier, Bennett L. Ibey, Theresa Good, and Gerard L. Coté "Monte Carlo modeling and phantom study for implantable fluorescent analyte sensors for human head", Proc. SPIE 6445, Optical Diagnostics and Sensing VII, 64450J (15 February 2007); https://doi.org/10.1117/12.698654

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KEYWORDS

Sensors

Monte Carlo methods

Luminescence

Signal detection

Head

Skin

Skull

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